Case Study

EV Manufacturer Drives 3% Closing Uplift with AI Roleplay Agents

How a leading U.S. EV manufacturer scaled its direct-to-consumer sales motion with AI roleplay agents that mirror the customer lifecycle, from test drive to close.

A leading U.S. EV manufacturer was building something the auto industry had spent a century avoiding: a direct-to-consumer sales motion, with no dealerships and no haggling. It worked, but it put enormous weight on a single moment, and on hundreds of advisors who had never sold a car this way before.

The challenge: one motion, built on dealerships, reinvented

In the direct-to-consumer EV model, the test drive is the make-or-break interaction. Advisors had minutes to build confidence, address range anxiety, and close, or lose the customer for good. That alone would be hard. Three other forces made it harder.

Complex features launching at speed. New capabilities like Advanced Driver Assistance Systems had to be understood and articulated by hundreds of advisors across dozens of locations. Traditional read-and-quiz training couldn’t keep pace with the product roadmap.

A brand-new sales paradigm, hired at volume. High-volume hiring meant constantly onboarding advisors with no dealership experience into a consultative, tech-forward, no-haggle motion - and ramping them fast enough to meet demand.

An inconsistent customer experience. Across the country, advisor experience varied widely. Top-performing locations closed at 3x the rate of underperforming ones, the same product, the same price, very different conversations.

The solution: AI roleplay agents that mirror the lifecycle

AmpUp deployed a suite of AI roleplay agents that mirror the customer lifecycle, each configured with the manufacturer’s own terminology, real customer personality traits, and objection patterns. Advisors could practice the exact conversations they’d face, before they faced them, against a buyer that pushes back, stalls, and never tires.

The Pre-Drive Agent simulates the interaction before the test drive, building rapport, qualifying needs, addressing range anxiety and charging questions, and setting expectations. The Post-Drive Agent takes the highest-conversion moment right after the drive, where advisors practice capturing enthusiasm, handling pricing and trade-in questions, and earning spouse or partner buy-in. And the Closer Agent runs the final conversation against more assertive personas, competitive comparisons to Tesla and legacy brands, final pricing objections, lease-versus-buy, and availability.

An Adaptive Knowledge Loop for feature launches

Read-and-quiz training couldn’t keep up with the product roadmap, so AmpUp replaced it with a continuous loop. When a new feature like ADAS ships, AmpUp immediately generates practice scenarios from the product docs and customer FAQs. Advisors roleplay those conversations in context. As they start discussing the feature with real customers, AmpUp captures how the best advisors explain it and which questions customers actually ask, and the practice scenarios auto-update to match. The result: feature-launch readiness in days instead of the two-to-three weeks traditional training required, and the cycle repeats with every release.

The results: a 3% uplift that compounds

In the pilot cohort, both same-day and 14-day closing rates improved by 3 percentage points in absolute terms, a 30% relative uplift over baseline. Bottom-quartile advisors moved into top-quartile performance, narrowing the very location-to-location gap that had been costing the network revenue.

Active simulation drives revenue. The AmpUp Pilot Cohort achieved a 3% absolute improvement in same-day and 14-day closing rates, with bottom-to-top quartile movement across the cohort.

- L&D Team, Leading U.S. EV Manufacturer

A 3% closing-rate improvement sounds modest until it’s multiplied across every location and advisor cohort. At scale, the manufacturer projected roughly $100M in incremental revenue, with 24/7 practice available to every advisor and a consistent, repeatable customer experience regardless of where a buyer walks in.

AmpUp’s AI roleplay agents create realistic practice configured with your terminology, customer personas, and objection patterns, so advisors rehearse the exact conversations they’ll have, before the customer is in the seat.

Methodology & sources

Results reflect the manufacturer’s pilot cohort of sales advisors using AmpUp’s AI roleplay agents, measured against the network’s baseline over the same period. Closing-rate figures are absolute percentage-point changes in same-day and 14-day closing rates, a 30% relative uplift, with quartile movement tracked across the cohort. The ~$100M incremental-revenue projection is the manufacturer’s own model of the pilot uplift applied across locations and advisor cohorts.